Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629827
Suneth Pathirana, D. Asirvatham, M. Johar
Brain-Machine interfacing (BCI) is an exceptional aspect of Human-Computer Interaction (HCI). BCI enables people with disabilities to interact hands-free with computers or other electronic devices using 'mental commands.' A typical BCI system emulates the basic functions of a typical input device such as a mouse by recognizing the user's intentions. Intention detection is usually achieved through the Electroencephalography (EEG) technology. In the context of BCI, virtual keyboards are often employed to simulate the physical keyboard functions. It was studied that the on-screen keyboards facilitated by the operating system of the computer are inconvenient for the BCI users. Unlike using a physical pointing device, the BCI user has to apply extra mental energy to move the cursor then to stop it on the exact key. Therefore, the requirement of designing an optimized virtual keyboard especially for BCI purpose is realized. In fact, the available keyboard layouts are inappropriate for BCIs. Alternatively, a key matrix has been suggested by some researchers. We introduce a better on-screen keyboard which has exhibited an enhancement of 11% in efficiency, by the meaning of typing speed compared to the existing designs. In addition, extended functionalities such as keyboard shortcuts are also integrated.
{"title":"Designing Virtual Keyboards for Brain-Computer Interfaces","authors":"Suneth Pathirana, D. Asirvatham, M. Johar","doi":"10.1109/R10-HTC.2018.8629827","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629827","url":null,"abstract":"Brain-Machine interfacing (BCI) is an exceptional aspect of Human-Computer Interaction (HCI). BCI enables people with disabilities to interact hands-free with computers or other electronic devices using 'mental commands.' A typical BCI system emulates the basic functions of a typical input device such as a mouse by recognizing the user's intentions. Intention detection is usually achieved through the Electroencephalography (EEG) technology. In the context of BCI, virtual keyboards are often employed to simulate the physical keyboard functions. It was studied that the on-screen keyboards facilitated by the operating system of the computer are inconvenient for the BCI users. Unlike using a physical pointing device, the BCI user has to apply extra mental energy to move the cursor then to stop it on the exact key. Therefore, the requirement of designing an optimized virtual keyboard especially for BCI purpose is realized. In fact, the available keyboard layouts are inappropriate for BCIs. Alternatively, a key matrix has been suggested by some researchers. We introduce a better on-screen keyboard which has exhibited an enhancement of 11% in efficiency, by the meaning of typing speed compared to the existing designs. In addition, extended functionalities such as keyboard shortcuts are also integrated.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115079704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629825
M. Hui, H. Nisar, Yeap Kim Ho, Teh Peh Chiong
In this paper, a video based contactless heart rate monitoring system for a person driving a car is proposed. This system uses photoplethysmography (PPG) signal extracted from subject's face to measure his heart rate. The PPG signal acquired is effected by the illumination variation and motion artifacts that are induced when the car is moving in real life scenario. Hence, a series of filtering algorithms are applied to reduce the noise to obtain accurate heart rate. The video of subject's face is recorded for ten seconds using dashcam at a frame rate of $30fps$. The resolution of image is $640x480$ pixels. In each video frame, the subject's face is detected using Viola-Jones face detector algorithm and region of interest (ROI) is segmented to compute the average Red-Green-Blue (RGB) values. The raw PPG signal is then filtered using a series of algorithms such as signal detrending, signal normalization, illumination variation reduction, bandpass filtering, signal smoothing and Joint Approximate Diagonalization Eigenmatrices (JADE) Independent Component Analysis (ICA). Fast Fourier Transform (FFT) is used to transform the filtered PPG signal into frequency domain for peak detection. The frequency component that corresponds to the peak amplitude is the heart rate of the subject, measured in beats per minute (bpm).
{"title":"A Video based Heart Rate Monitoring System for Drivers Using Photoplethysmography Signal","authors":"M. Hui, H. Nisar, Yeap Kim Ho, Teh Peh Chiong","doi":"10.1109/R10-HTC.2018.8629825","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629825","url":null,"abstract":"In this paper, a video based contactless heart rate monitoring system for a person driving a car is proposed. This system uses photoplethysmography (PPG) signal extracted from subject's face to measure his heart rate. The PPG signal acquired is effected by the illumination variation and motion artifacts that are induced when the car is moving in real life scenario. Hence, a series of filtering algorithms are applied to reduce the noise to obtain accurate heart rate. The video of subject's face is recorded for ten seconds using dashcam at a frame rate of $30fps$. The resolution of image is $640x480$ pixels. In each video frame, the subject's face is detected using Viola-Jones face detector algorithm and region of interest (ROI) is segmented to compute the average Red-Green-Blue (RGB) values. The raw PPG signal is then filtered using a series of algorithms such as signal detrending, signal normalization, illumination variation reduction, bandpass filtering, signal smoothing and Joint Approximate Diagonalization Eigenmatrices (JADE) Independent Component Analysis (ICA). Fast Fourier Transform (FFT) is used to transform the filtered PPG signal into frequency domain for peak detection. The frequency component that corresponds to the peak amplitude is the heart rate of the subject, measured in beats per minute (bpm).","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115348386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629810
Srilakshmi Kaza, V. N. T. Alapati, Srinivasa Rao Kunupalli
Recent developments in sensors and novel device structures have opened up many new possibilities in medical field, especially in implantable medical devices. The battery recharge timing places stringent requirements on power consumption by these devices. The design of energy-efficient circuits and systems thus becomes more crucial. Adder is the basic building block for all these devices. In this paper, a 4-bit Brent-Kung adder is implemented with a new adiabatic logic family derived from the PFAL, denoted as modified PFAL or MPFAL and using FinFET device. The performance of the adder circuit is analyzed by comparing the power dissipation and delay with that of static CMOS and PFAL designs. The simulation results indicate reduction in power dissipation of 98% and 96% over static CMOS and PFAL designs. The delay improvement is 24% for MPFAL circuit.
{"title":"Energy Efficient Adder for Bio-Medical Applications","authors":"Srilakshmi Kaza, V. N. T. Alapati, Srinivasa Rao Kunupalli","doi":"10.1109/R10-HTC.2018.8629810","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629810","url":null,"abstract":"Recent developments in sensors and novel device structures have opened up many new possibilities in medical field, especially in implantable medical devices. The battery recharge timing places stringent requirements on power consumption by these devices. The design of energy-efficient circuits and systems thus becomes more crucial. Adder is the basic building block for all these devices. In this paper, a 4-bit Brent-Kung adder is implemented with a new adiabatic logic family derived from the PFAL, denoted as modified PFAL or MPFAL and using FinFET device. The performance of the adder circuit is analyzed by comparing the power dissipation and delay with that of static CMOS and PFAL designs. The simulation results indicate reduction in power dissipation of 98% and 96% over static CMOS and PFAL designs. The delay improvement is 24% for MPFAL circuit.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128937400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629821
J. J, S. D. M. Kumar
The field of Information and Communication Technology (ICT) has witnessed a game changing development in the name of Internet of Things (IoT). The IoT paradigm attempts to connect everyday 'things' to the Internet. In order to realize various IoT applications like smart health, smart cities, and transportation; seamless connectivity among the IoT devices needs to be ensured. Routing in Low power Lossy Networks (LLNs) essentially contributes to providing the required connectivity. This paper throws light on the state-of-the-art research in LLN routing. Considering the current societal needs, various categories of routing protocols, such as proactive, on-demand, opportunistic, and cognitive routing protocols, have been reviewed and compared. Finally the paper lists major challenges, along with possible solutions, that need to be addressed immediately to realize various socially relevant IoT applications in its real sense.
{"title":"Ensuring Seamless Connectivity in Internet of Things: The Role of Low Power Lossy Networks","authors":"J. J, S. D. M. Kumar","doi":"10.1109/R10-HTC.2018.8629821","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629821","url":null,"abstract":"The field of Information and Communication Technology (ICT) has witnessed a game changing development in the name of Internet of Things (IoT). The IoT paradigm attempts to connect everyday 'things' to the Internet. In order to realize various IoT applications like smart health, smart cities, and transportation; seamless connectivity among the IoT devices needs to be ensured. Routing in Low power Lossy Networks (LLNs) essentially contributes to providing the required connectivity. This paper throws light on the state-of-the-art research in LLN routing. Considering the current societal needs, various categories of routing protocols, such as proactive, on-demand, opportunistic, and cognitive routing protocols, have been reviewed and compared. Finally the paper lists major challenges, along with possible solutions, that need to be addressed immediately to realize various socially relevant IoT applications in its real sense.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"7 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113953021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629859
Pooja Withanage, Tharaka Liyanage, Naditha Deeyakaduwe, Eshan Dias, S. Thelijjagoda
In a highly evolving technical era, Voice-based Navigation Systems play a major role to bridge the gap between human and machine. To overcome the difficulty in taking and understanding user's voice commands, simulating the natural language, process the route with user's turn by turn directions while mentioning key entities like street names, landmarks, point of interests, junctions and map the route in an interactive interface, we propose a user-centric roadmap navigation mobile application called “Direct Me”. The approach of generating the user preferred route, system will first convert the audio streams into text through Automatic Speech Recognizer (ASR) using Pocket Sphinx Library, followed by Natural Language Processing (NLP) by utilizing Stanford CoreNLP Framework to retrieve the navigation-associated information and process the route in the Map using Google Map API upon the user request. This system is used to provide an efficient approach to translate natural language directions to a machine-understandable format and will benefit the development of voice-based navigation-oriented humanmachine interface.
{"title":"Road Navigation System Using Automatic Speech Recognition (ASR) And Natural Language Processing (NLP)","authors":"Pooja Withanage, Tharaka Liyanage, Naditha Deeyakaduwe, Eshan Dias, S. Thelijjagoda","doi":"10.1109/R10-HTC.2018.8629859","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629859","url":null,"abstract":"In a highly evolving technical era, Voice-based Navigation Systems play a major role to bridge the gap between human and machine. To overcome the difficulty in taking and understanding user's voice commands, simulating the natural language, process the route with user's turn by turn directions while mentioning key entities like street names, landmarks, point of interests, junctions and map the route in an interactive interface, we propose a user-centric roadmap navigation mobile application called “Direct Me”. The approach of generating the user preferred route, system will first convert the audio streams into text through Automatic Speech Recognizer (ASR) using Pocket Sphinx Library, followed by Natural Language Processing (NLP) by utilizing Stanford CoreNLP Framework to retrieve the navigation-associated information and process the route in the Map using Google Map API upon the user request. This system is used to provide an efficient approach to translate natural language directions to a machine-understandable format and will benefit the development of voice-based navigation-oriented humanmachine interface.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"96 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114060398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629831
M. A. M. Manaz, Chan-nan Lu
Microgrid has the capability to maintain a reliable power supply during an emergency; microgrid technology is also suitable to deliver power to rural communities where providing power from the main grid is not economical. These microgrids can experience severe frequency variation due to their inherently low inertia. In this paper, we derive a closed-form formula to compute the dynamic frequency stability margin and propose a procedure to evaluate it using local measurements available in any location in the microgrid. The dynamic stability margin could be utilized to activate suitable responses from distributed energy resources during emergency situations to maintain frequency stability.
{"title":"Calculation of Dynamic Frequency Stability Margin in Islanded Microgrids","authors":"M. A. M. Manaz, Chan-nan Lu","doi":"10.1109/R10-HTC.2018.8629831","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629831","url":null,"abstract":"Microgrid has the capability to maintain a reliable power supply during an emergency; microgrid technology is also suitable to deliver power to rural communities where providing power from the main grid is not economical. These microgrids can experience severe frequency variation due to their inherently low inertia. In this paper, we derive a closed-form formula to compute the dynamic frequency stability margin and propose a procedure to evaluate it using local measurements available in any location in the microgrid. The dynamic stability margin could be utilized to activate suitable responses from distributed energy resources during emergency situations to maintain frequency stability.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128436144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629828
Tanhim Islam, Tanjir Alam Chisty, Amitabha Chakrabarty
Agriculture is the essential ingredients to mankind which is a major source of livelihood. Agriculture work in Bangladesh is mostly done in old ways which directly affects our economy. In addition, institutions of agriculture are working with manual data which cannot provide a proper solution for crop selection and yield prediction. This paper shows the best way of crop selection and yield prediction in minimum cost and effort. Artificial Neural Network is considered robust tools for modeling and prediction. This algorithm aims to get better output and prediction, as well as, support vector machine, Logistic Regression, and random forest algorithm is also considered in this study for comparing the accuracy and error rate. Moreover, all of these algorithms used here are just to see how well they performed for a dataset which is over 0.3 million. We have collected 46 parameters such as - maximum and minimum temperature, average rainfall, humidity, climate, weather, and types of land, types of chemical fertilizer, types of soil, soil structure, soil composition, soil moisture, soil consistency, soil reaction and soil texture for applying into this prediction process. In this paper, we have suggested using the deep neural network for agricultural crop selection and yield prediction.
{"title":"A Deep Neural Network Approach for Crop Selection and Yield Prediction in Bangladesh","authors":"Tanhim Islam, Tanjir Alam Chisty, Amitabha Chakrabarty","doi":"10.1109/R10-HTC.2018.8629828","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629828","url":null,"abstract":"Agriculture is the essential ingredients to mankind which is a major source of livelihood. Agriculture work in Bangladesh is mostly done in old ways which directly affects our economy. In addition, institutions of agriculture are working with manual data which cannot provide a proper solution for crop selection and yield prediction. This paper shows the best way of crop selection and yield prediction in minimum cost and effort. Artificial Neural Network is considered robust tools for modeling and prediction. This algorithm aims to get better output and prediction, as well as, support vector machine, Logistic Regression, and random forest algorithm is also considered in this study for comparing the accuracy and error rate. Moreover, all of these algorithms used here are just to see how well they performed for a dataset which is over 0.3 million. We have collected 46 parameters such as - maximum and minimum temperature, average rainfall, humidity, climate, weather, and types of land, types of chemical fertilizer, types of soil, soil structure, soil composition, soil moisture, soil consistency, soil reaction and soil texture for applying into this prediction process. In this paper, we have suggested using the deep neural network for agricultural crop selection and yield prediction.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129654004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629842
Joaquim Porte, J. Maso, J. Pijoan, Marta Miret, D. Badia, J. Jayasinghe
In this paper we present a new communications solution for remote villages in developing countries. The system is based in the Near Vertical Ionospheric Skywave (NVIS) technique, able to achieve coverage areas up to 250 Km without line of sight. It is a low-cost, low-power system that can be easily installed and put into operation. The radio system communicates with a smartphone, where a messaging app is running, so text and low resolution images can be sent without the need of any mobile operator. The system has been tested between one of the Andean communities of the Sacred Valley of Incas in Peru and Urubamba, the nearest city.
{"title":"Education and e-health for developing countries using NVIS communications","authors":"Joaquim Porte, J. Maso, J. Pijoan, Marta Miret, D. Badia, J. Jayasinghe","doi":"10.1109/R10-HTC.2018.8629842","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629842","url":null,"abstract":"In this paper we present a new communications solution for remote villages in developing countries. The system is based in the Near Vertical Ionospheric Skywave (NVIS) technique, able to achieve coverage areas up to 250 Km without line of sight. It is a low-cost, low-power system that can be easily installed and put into operation. The radio system communicates with a smartphone, where a messaging app is running, so text and low resolution images can be sent without the need of any mobile operator. The system has been tested between one of the Andean communities of the Sacred Valley of Incas in Peru and Urubamba, the nearest city.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134462586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/R10-HTC.2018.8629826
D. Perera, C. Rathnayaka, Sachin Dilan, Lasitha Siriweera, W. Rankothge
One of the challenging problems in the tourism industry is to maintain the environmental sustainability of the tourists attracted locations while giving a better user experience for the tourists. The proposed platform for sustainable tourism management system consist with following modules: A prediction module to predict an approximate value on tourist arrival for each location, an optimization algorithm module to decide the number of tourists that can be accommodated in each location considering the environmental sustainability, and an optimal path generating module to show the best route to each location. The optimization algorithm module is developed to decide the number of tourists for each location based on two approaches: Genetic Algorithms and Iterated Local Search. Next the optimal path generating module is developed based on traveling salesman problem.In this paper, the performances of the optimization algorithm module and the optimal path generating module is presented. Results show that, using the suggestions given by the algorithms help the tourist to enjoy a better experience in travelling while ensuring the sustainability in the tourism industry.
{"title":"Sustainable Tourism: Application of Optimization Algorithms to Schedule Tour Plans","authors":"D. Perera, C. Rathnayaka, Sachin Dilan, Lasitha Siriweera, W. Rankothge","doi":"10.1109/R10-HTC.2018.8629826","DOIUrl":"https://doi.org/10.1109/R10-HTC.2018.8629826","url":null,"abstract":"One of the challenging problems in the tourism industry is to maintain the environmental sustainability of the tourists attracted locations while giving a better user experience for the tourists. The proposed platform for sustainable tourism management system consist with following modules: A prediction module to predict an approximate value on tourist arrival for each location, an optimization algorithm module to decide the number of tourists that can be accommodated in each location considering the environmental sustainability, and an optimal path generating module to show the best route to each location. The optimization algorithm module is developed to decide the number of tourists for each location based on two approaches: Genetic Algorithms and Iterated Local Search. Next the optimal path generating module is developed based on traveling salesman problem.In this paper, the performances of the optimization algorithm module and the optimal path generating module is presented. Results show that, using the suggestions given by the algorithms help the tourist to enjoy a better experience in travelling while ensuring the sustainability in the tourism industry.","PeriodicalId":404432,"journal":{"name":"2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122005434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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